@zwb44 33k at medium reasoning versus 162k at max is a pretty wild jump. at some point paying for more thinking stops being the economical choice, even on a cheap model
@HeyAliux distribution. google doesn’t need you to fall in love with gemini. it just needs gemini to be useful in the apps you already open every morning
@trq212 yeah, and that's where it gets tricky. the model can teach you enough to keep moving, but not necessarily enough to notice when you've been heading in the wrong direction for two hours
@Airo_07 we’re gonna end up with ai watermark detectors, watermark removers, and detectors for the removers…three subscription businesses arguing over the same paragraph
@petergostev 40m is already wild, but i'm more curious what happens when those users start running multiple agents in parallel instead of one chat at a time. user growth might be the smaller problem compared to how much compute each user starts consuming